Independent applied AI and quantitative research practice delivering production platforms for asset management, private markets, and regulated digital businesses. Built and operated a systematic investment platform under private mandate, spanning 187 data sources, 7GB+ daily ingestion, factor research, backtesting, portfolio construction, risk, and model governance. Designed CTA and multi-factor strategies across equities and futures, with approximately $1.3B in modeled capacity and $12M in live capital. Delivered a governed agentic due-diligence and research platform for an investment firm. Served as embedded Head of AI for a digital-asset business, building an agentic operating system across product, payments, risk, compliance, and operations. Core stack: Python, Dask, Polars, MLflow, SageMaker, AWS Glue, Bedrock, LangGraph, LangFuse, RAGFlow, n8n, Docker, dbt, TimescaleDB, and CUDA.

Led a core Quant platform (Snowflake, Airflow, Dask) running 13K+ models across ~$300B+ AUM; scaled a large disrupted engineering organization across 6 global offices. Drove AI/ML adoption across portfolio management, research, and operations; championed NLP and GenAI initiatives across EMEA. Contributed to AladdinAsk and LLM/agent engineering initiatives. Tech: Machine Learning, AI, Financial Engineering, Investment Models, Azure, Dynamics 365, API Graph, SRE, Hadoop, Spark, Dask, Python, Prefect, Airflow, Snowflake, Java Spring Cloud, Scaled Agile, Scrum@Scale, LLMs, Agentic Systems Industry: Asset Management

Led post-acquisition technical transformation of multiple SaaS businesses, re-architecting platforms and reorganizing engineering/product teams into fully automated, cloud-native, remote-first units within 120 days. Rebuilt infrastructure for high availability and low OPEX while sustaining 99.99% uptime. Built and managed large engineering organizations across 7 time zones and 4 business units. Directed the R&D partnership with Diffblue (Cambridge AI) to automate QA across 3B+ lines of Java, returning ~$5M/year in engineering capacity. Industry: Private Equity, SaaS

Co-founded an AI-driven workforce management platform targeting the pre-COVID remote-teams market; built toward a $7M ARR opportunity, raised $130K seed, and wound down operations in 2021. Architected a lean multi-cloud platform leveraging AWS (Lambda, Cognito, Amplify, IoT Core) and GCP to run and scale ML workloads, enabling rapid experimentation and business pivots. Leveraged the Y Combinator network to accelerate product iteration, infrastructure design, and go-to-market validation, and partnered with H20.ai for autoML solutions. Industry: AI, SaaS, Workforce Management Tech: AWS, GCP, H2O.ai, Machine Learning, Unsupervised Learning, IoT, Electron

Built and led the founding organization of 20; Delivered a novel mobile betting platform, advancing to a Hard Rock licensing deal with an estimated $3M ARR potential. Achieved full Malta Gaming Authority (MGA) and GDPR compliance. Industry: Mobile Gaming Platforms, iGaming Tech: AWS, Java (Spring), Kotlin, PHP, Kafka, ELK, MongoDB, Unity

Foundations of Financial Engineering

WorldQuant University

2026

Credential ID: 7XF8E9EFE6AU

Advanced Learning Algorithms

Stanford University

2023

Credential ID: 7XF8E9EFE6AU

Supervised Machine Learning Specialization

Stanford University

2023

Credential ID: 7ZG9RJ4D84P9

Microsoft Certified: Azure Developer Associate

Microsoft

2022

Credential ID: I347-4319

Microsoft Certified: Azure Fundamentals

Microsoft

2022

Credential ID: I304-2784

AWS Certified Solutions Architect – Associate

AWS

2021

Credential ID: PF1DVLHLLFR4QDKX

AWS Certified Cloud Practitioner

AWS

2020

Credential ID: FJRHNKHD1F441M3G